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1 Knowledge retention and transfer: How libraries manage employees leaving and joining Abstract. Purpose: This study investigates how libraries prevent the loss of knowledge with people leaving or resigning, and the strategies they adopt to retain this knowledge and to transfer organizational knowledge to new employees. Methodology/approach: Data was gathered from 101 academic librarians from 35 countries in 6 continents who provided qualitative answers to two open-ended questions in a survey questionnaire. Findings: Documentation, training and digital repositories were found to be the primary strategies employed. A number of respondents admitted to retention and transfer being done poorly. Very few libraries had a formal KM process. The study proposes a theoretical framework for knowledge retention and transfer in libraries. Implications: Libraries will be able to learn of retention and transfer strategies, and identify gaps in their KM process based on the mapping of a specific strategy to knowledge dimension or phase of the KM cycle. Originality/value: This is the first empirical study in the area of knowledge retention in libraries. The study brings together the perspectives of libraries across the world. The primary research contribution is the theoretical framework which can be used to further research on knowledge retention and transfer in the context of libraries. Keywords. Knowledge retention, knowledge transfer, libraries, knowledge management, framework for knowledge retention and transfer in libraries

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Knowledge retention and transfer: How libraries manage

employees leaving and joining

Abstract.

Purpose: This study investigates how libraries prevent the loss of knowledge with people

leaving or resigning, and the strategies they adopt to retain this knowledge and to transfer

organizational knowledge to new employees.

Methodology/approach: Data was gathered from 101 academic librarians from 35

countries in 6 continents who provided qualitative answers to two open-ended questions in

a survey questionnaire.

Findings: Documentation, training and digital repositories were found to be the primary

strategies employed. A number of respondents admitted to retention and transfer being

done poorly. Very few libraries had a formal KM process. The study proposes a theoretical

framework for knowledge retention and transfer in libraries.

Implications: Libraries will be able to learn of retention and transfer strategies, and identify

gaps in their KM process based on the mapping of a specific strategy to knowledge dimension

or phase of the KM cycle.

Originality/value: This is the first empirical study in the area of knowledge retention in

libraries. The study brings together the perspectives of libraries across the world. The

primary research contribution is the theoretical framework which can be used to further

research on knowledge retention and transfer in the context of libraries.

Keywords. Knowledge retention, knowledge transfer, libraries, knowledge management,

framework for knowledge retention and transfer in libraries

agarwal
Typewriter
Agarwal, N.K. & Islam, M.A. (2015). Knowledge retention and transfer: How libraries manage employees leaving and joining. VINE: The Journal of Information and Knowledge Management Systems. 45(2), 150-171.

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Article classification. Research paper

Background and Introduction

Knowledge has always been embedded in the activities of organizations. This includes

the knowledge generated within libraries. The value of knowledge has grown with ‘‘the

emergence of the information age and the knowledge economy, which have transformed

knowledge into an asset and made it the basic economic resource’’ (Beazley, Boenisch and

Harden, 2002). When library employees resign or retire, they often leave with valuable

organizational, customer and project knowledge. In many instances, this knowledge can be

critical to the success of the library. Sutherland and Jordaan (2004) argue that the ability to

retain organizational knowledge is a key characteristic for a successful organization in the

knowledge economy. Similarly, new employees joining the libraries face critical challenges

in gathering knowledge relevant to their jobs. There are barriers to the successful transfer

of organizational knowledge, with knowledge either held in senior employees who do not

share enough in order to keep themselves indispensable or thinking what they know is not

important enough for others. The documents and files may be difficult for a new employee

to process, and electronic copies lost in the deluge of online information and repositories,

limiting their accessibility and usefulness.

Thus, with librarians and student workers leaving and joining, libraries struggle to

prevent loss of organizational knowledge due to staff turnover, and transferring this

knowledge to new employees. Knowledge retention should be integrated into how the

library operates and start well before a key employee is about to depart. Although it is

considered crucial for long term organizational success, few organizations have formal

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knowledge retention strategies (Liebowitz 2009). With depleting budgets and challenges of

viability, retaining and transferring organizational knowledge effectively is necessary for the

survival and growth of libraries. Libraries need to develop and implement programs for

capturing and retaining this knowledge before their employees walk out the door for the last

time, and transferring this knowledge to incoming employees.

The research questions investigated in this study are:

How does the library:

RQ1. retain the knowledge of people who leave or resign from the library?

RQ2. provide organizational knowledge to new employees?

Using Nonaka and Takeuchi (1995)’s organizational knowledge-creation framework

as well as the phases of the KM cycle (Agarwal and Islam, 2014) as a theoretical lens to guide

the data analysis, we propose a framework for knowledge retention and transfer in libraries.

The rest of the paper is organized as follows. In the next section, we review the

literature and discuss the theoretical lens. This is followed by methodology, findings,

discussion, conclusions and implications.

Literature review

Knowledge Management in Libraries

While there are hundreds of definitions (Dalkir, 2011), a simple definition of KM is a

systematic effort to enable information and knowledge to grow, flow and create value (O’Dell

and Hubert, 2011). Nonaka and Takeuchi (1995) define KM as the capability of ‘a company

as a whole to create new knowledge, disseminate it throughout the organization, and

embody it in products, services and systems’ (p.3). In non-profit organizations such as

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libraries, KM can improve communication among staff and between top management, and

can promote a culture of sharing (Teng and Hwamdeh, 2002). The few studies on library and

KM have focused on KM in academic libraries (Townley, 2001; Maponya, 2004), the need for

KM in libraries (Wen, 2005), the relationship between KM and libraries (Roknuzzaman and

Umemoto, 2009; Sarrafzadeh, Martin and Hazeri, 2010), librarians’ awareness or

perceptions of KM (Siddike and Islam, 2011), knowledge sharing behavior (Islam, Ikeda and

Islam, 2013), KM in state-of-the-art digital libraries (Islam and Ikeda, 2014) and mapping

KM tools to KM cycle for libraries (Agarwal and Islam, 2014). Despite varying perceptions

of the Library and Information Science (LIS) community towards KM, most researchers view

it positively and call for full involvement of LIS practitioners in KM (Abell and Oxbrow, 2001;

Southon and Todd, 2001; Agarwal and Islam, 2014).

Types of knowledge

The knowledge in most KM definitions typically refers to one of two types of

knowledge – either explicit or tacit (Nonaka and Takeuchi, 1995; Sveiby, 1997; Davenport

and Prusak, 1998; Pan and Scarborough, 1999). Explicit knowledge is systematic and has

been or can be articulated, codified, and stored in certain media and can be readily

transmitted to others (Pan and Scarborough, 1999). Tacit knowledge, however, is created

through learning by doing, is difficult to express, formalize, or transfer (Sveiby, 1997). Tacit

knowledge is found embedded in action, commitment, and involvement in a specific context

and derived from personal experiences (Nonaka, Toyama and Nagata, 2000). In

implementing and practicing KM in libraries, these distinctions must be well understood.

Only explicit knowledge can be exchanged through documents, while the more important

tacit knowledge can only be exchanged through human interaction. Nevertheless, both types

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of knowledge are important and interdependent. This interdependency is explained further

in the Nonaka and Takeuchi (1995)’s knowledge creation model discussed below, which

serves as a theoretical lens for the study.

Theoretical lens

Nonaka and Takeuchi (1995) propose a model to understand the dynamic nature of

knowledge creation, and to manage such a process effectively. There is a spiral of knowledge

involved, where the explicit and tacit knowledge interact with each other in a continuous

process. This process leads to the creation of new knowledge (see Figure 1). Each quadrant

in the figure represents the process of conversion of knowledge between the tacit and

explicit forms. The central thought is that knowledge held by individuals is shared with other

individuals so it interconnects to form a new knowledge.

To tacit To explicit From tacit

Socialization

(social interaction – e.g. face-to-face meetings,

brainstorming)

Externalization

(articulating tacit knowledge in the form of

written documents, images, video, etc.)

From explicit

Internalization

(process of understanding, learning

and making sense of documents, books and

other codified knowledge)

Combination

(organizing, classifying or integrating explicit knowledge to make processing easier)

Figure 1 Nonaka and Takeuchi (1995)’s model of knowledge creation in organizations

Phases of the KM cycle

The key steps in the KM process in an organization are often represented in the form

of a KM cycle. Agarwal and Islam (2014) combined various frameworks of the KM cycle (see

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Dalkir, 2011) and identified 8 unique steps comprising phases of the KM cycle: knowledge

1) creation; 2) acquisition or sourcing; 3) compilation or capture; 4) organization,

refinement, transformation and storage; 5) dissemination, transfer and access; 6) learning

and application; 7) evaluation and value realization; and 8) reuse or divesting. These phases

are also applicable to KM in libraries (Agarwal and Islam, 2014).

Knowledge retention

Knowledge retention or knowledge continuity involves capturing knowledge in the

organization so that it can be used later (Levy, 2011). It is a sub-discipline of KM and is

concerned with making sure that the organization does not lose the knowledge held by

knowledge workers who leave the organization. Baker, Perez and An (2004) suggest that KM

systems can offer viable solutions for the retention of knowledge. The Tennessee Valley

Authority (TVA) is often listed in case studies where knowledge retention processes were

documented and published (Landon and Walker, n.d.; Beazley, Boenisch and Harden, 2002;

DeLong, 2004; Patton, 2006).

Hayward-Wright (2009) highlights that any knowledge enabling initiative requires

three critical organizational elements: focus (vision/strategy), capability (tools and

resources) and the will (culture). Distinguishing between technology and human interaction,

Hayward-Wright (2009) lists two types of enablers necessary for knowledge retention: 1)

systems-based knowledge transfer enablers – document management, procedure repository,

contacts database, expert database, social network analysis, and (online) training program;

and 2) people-based knowledge transfer enablers – mentoring, coaching, shadowing, joint

decision making, interviews, storytelling, networking, think tanks, forums/communities of

practice, etc.

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A number of researchers have suggested strategies for knowledge retention.

Rothwell (2004) suggests 12 strategies, some focused on general KM issues, and others on

knowledge retention when personnel leave the organization: job shadowing; communities

of practice; process documentation; critical incident interviews or questionnaires; expert

systems; electronic performance support systems (EPSS); job aids; storyboards; mentoring

programs; storytelling; information exchanges; and best practice studies or meetings.

DeLong (2004) suggests eight strategies. Again, some (such as after-action reviews and

communities of practice) focus on KM-in-general, while others are specific to knowledge

retention when employees leave. Three of the strategies aim at improving the transfer of

explicit knowledge – documentation, interviews and training – and four at transferring

implicit and tacit knowledge – storytelling, mentoring/coaching, after-action reviews and

communities of practice. Patton (2006) argues that organizations should concentrate on

recreating tacit knowledge rather than focusing only on transferring it. Beazley (2003) posits

that planning how to retain the knowledge must include defining the technology that will

facilitate the process. Hayward-Wright (2009) recommends an information audit (focusing

on explicit knowledge) and a knowledge audit (focusing on tacit knowledge) to decide what

knowledge is critical to be retained or captured. She advises four types of questions that can

be asked to a departing employee: general questions, questions pertaining to specific tasks,

questions on facts or information, and questions that will draw out lessons learned, insights,

etc. A number of studies (Landon and Walker, n.d.; Beazley, 2003; DeLong, 2004; Baker,

Perez and An, 2004; Morgan, Doyle and Albers, 2005; Kalkan, 2006; IAEA, 2006) recommend

initiating the knowledge retention process with an assessment project that estimates the risk

of knowledge loss. These are similar to the information and knowledge audits recommended

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by Hayward-Wright (2009). DeLong (2004) and Hofer-Alfeis (2008) emphasize

implementation (see Levy, 2011), thus setting the foundations for organizations that actually

want to know how to transfer the experts’ knowledge across the organization.

Knowledge transfer

Like knowledge retention, knowledge transfer is the means by which expertise,

knowledge, skills and capabilities are transferred from the knowledge-base to those in need

of that knowledge e.g. from outgoing to current employees, or from current to incoming

employees, or from databases and documents to current or incoming employees (Silke and

Alan, 2000). It refers to the activities associated with the flow of knowledge including

communication, translation, conversion, filtering and rendering (Newman and Conrad, 1999)

and making it available for future use. Bou-Liusar and Segarra-Cipres (2006) calls this

internal transfer, and highlights that knowledge transfer can also include the external

transfer of knowledge between firms. Knowledge transfer is more than just a communication

problem due to the complex and tacit nature of organizational knowledge, including

knowledge of members, tools, tasks, and types (Argote and Ingram, 2000). Nonaka and

Takeuchi (1995) show how knowledge can be transferred between and within tacit and

explicit forms (see Figure 1). DeLong (2004) suggest that knowledge can be transferred from

individual-to-individual, individual-to-group, group-to-individual and group-to-group. The

transfer involves both the transmission of information to a recipient and absorption and

transformation of knowledge by that person or group (Davenport and Prusak, 1998). To be

of value to the organisation, the transfer of knowledge should lead to changes in behavior,

practices and policies, and the development of new ideas, processes, practices and policies.

Emadzade et al. (2012) posits that knowledge transfer can be made possible through the

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process of combining, filtering, integrating, merging, coordinating, distributing, and

reconstructing knowledge.

Factors affecting knowledge retention and transfer

While we have looked at various strategies proposed by researchers on how to retain

or transfer knowledge between/among library employees, none of these will work if a few

required elements are not in place. Basing their work on O’Dell & Grayson (1998), Agarwal

and Marouf (2014) list 4 basic areas that must be in place for effective knowledge

management. These are people, culture, processes and technology. They list these in the

context of colleges and universities as a whole, but these would be equally applicable to

knowledge retention and transfer in academic libraries. We could think of these are library

capability or readiness for knowledge retention and transfer.

People includes factors such as awareness of KM, knowledge retention and transfer,

what it means and what it can bring to them; individual intention to be involved in the

knowledge management, retention and transfer process; motivation and the degree of effort

one is willing to put into it, and top management openness and support, as well as proving

resources, rewards and incentives (Bock and Kim, 2002) for new ideas (O’Dell & Grayson,

1998; Agarwal and Marouf, 2014).

Culture (Goh, 2002; Mills and Smith, 2011) includes whether the library encourages

and facilitates knowledge sharing, retention and transfer, whether a climate of openness and

trust (Levin and Cross, 2004) permeates the library; whether flexibility and the desire to

innovate drives the learning and work process in the library (Agarwal and Marouf, 2014);

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whether collaboration and support for collaboration management form a key part of the

library’s practices; and so on.

Processes include determining if any prior KM implementation is in place (Agarwal

and Marouf, 2014), or if existing knowledge retention and transfer strategies (discussed in

the sections above - such as mentoring, coaching, shadowing, document management,

repositories, databases, etc.) are already in place in the library.

Finally, technology includes having IT-based mechanisms that link library staff and

stakeholders to one another, and to public; having an institutional memory that is accessible

to the library as a whole; determining whether the library fosters the development of

human-centered IT; having an environment where the technology that supports

collaboration is rapidly placed in the hands of faculty and staff; and where available

information systems are real time, integrated and smart (O’Dell and Grayson, 1998; Agarwal

and Marouf, 2014).

All these factors enable the phases of the KM cycle, which includes knowledge

creation, retention and transfer processes. Before implementing any knowledge retention

and transfer strategies, a capability or readiness assessment must be done (Agarwal &

Marouf, 2014; Lee et al., 2012; Khalifa and Liu, 2003; Gold et al., 2001) to see the state of the

library as regards to these 4 areas discussed above. Without a culture of trust (Levin and

Cross, 2004) and collaboration management support, or without effective technology,

implementing strategies would not be effective. E.g. a library employee would not want to

transfer his/her tacit knowledge to an incoming or current employee if there is no mutual

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trust. Thus, any implemented strategies must align with the state of capability, readiness or

maturity of the library for KM, and phases of the KM cycle.

Motivation – Knowledge retention and transfer in libraries

As readiness assessment, and people and culture are huge areas of research within

KM, this paper will not venture there. We will simply focus on processes and specific

strategies and ways in which libraries facilitate knowledge retention and transfer (with a

recognition that these would be ineffective without the enabling environment of culture,

trust, etc.).

As seen from the discussion above, none of the past studies on knowledge retention

and knowledge focus on libraries. Hayward-Wright (2009) is the only paper that discusses

the importance of knowledge retention in the context of health and special libraries.

However, it is a position paper where no empirical data is gathered. This study will

investigate retention and transfer strategies not only from the perspective of libraries within

a single region or country, but from librarians internationally. By getting to know about the

actual strategies employed, we can identify the gap in recommendation versus practice.

We adopt Nonanka and Takeuchi (1995)’s and Agarwal and Islam (2014)’s work as a

theoretical lens. Even though Nonaka and Takeuchi’s model is very popular and commonly

cited, it is closely applicable to this study. This is because while the processes espoused in

their model are central to KM, knowledge retention and transfer are key processes that form

a part of most definitions of the KM cycle (Agarwal and Islam, 2014).

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Based on the findings from the data gathered, we extend these frameworks and

propose a new theoretical framework for the knowledge retention and transfer process in

the library context.

Methodology

This data for this study was gathered as part of a larger quantitative survey of

librarians across the world investigating the likelihood of their library adopting KM and Web

2.0 tools (<anonymized>). The focus of the present study is the qualitative analysis of the

open-ended responses to two questions that were included along with other structured

questions. These were:

Q1. How does your library retain the knowledge of people who leave or resign from the

library?

Q2. How does your library provide organizational knowledge to new employees?

As questions on retention and transfer have not been adequately investigated in the

context of libraries, responses to these questions were best gathered in an open-ended

qualitative manner.

The target population of the study was librarians across the world. The study

population was academic librarians that were accessible using the International Federation

of Library Associations and Institutions (IFLA) mailing list (IFLA Mailing Lists, 2014) and the

IFLA KM section mailing list. Apart from these, we also reached out to academic librarians in

the UK (list by University of Wolverhampton, n.d.), USA (list by University of Texas, n.d.),

Canada (Universities in Canada, n.d.), Australia (Universities in Australia, n.d.) and other

countries such as Bangladesh, Denmark, India, Malaysia, Norway, etc. (a total of 35

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countries) where universities were found using Web search. The purpose was to reach out

to a wide pool of academic libraries from different countries. We focused on academic

libraries as they were more likely to adopt KM and KM practices, having played a significant

role in supporting information dissemination activities, and with faculty and students

stimulating the creation and transmission of knowledge. However, the concerns of

knowledge retention (what to do when employees resign or retire) or knowledge transfer to

new employees are as applicable to other types of libraries as they are to academic libraries.

Both the questions were self-developed and not based on any prior study. Thus, these

were pre-tested to check for any question wording issues. The questionnaire and the design

of the larger study was approved by the Institutional Review Board of <anonymized>.

Individual personalized emails with a link to a web-based questionnaire (including the

informed consent) were sent out to university librarians inviting them to participate in this

study. A web-based version of the instrument was created using Google form. The questions

were not mandatory. Thus, the respondents could choose not to answer them. In order to

protect the identity of the librarians, no names, email addresses or library names were

gathered.

Individual mails were sent to a list of 563 librarians in the UK, USA, Australia and

Canada inviting them to fill out the questionnaire. Apart from these, individual librarians

were also contacted in other countries mentioned above. Emails were also sent to the IFLA

and IFLA KM mailing lists. In total, about 600 librarians were individually contacted, with

the rest in mailing lists. 101 librarians from 35 countries in 6 continents filled out the

questionnaire. The response rate was about 16.83% after multiple follow-up emails and

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efforts at reaching to respondents and mailing lists. Data was gathered between August 2013

and February 2014.

Data Analysis

Demographic data was analyzed using PSPP 0.8.2, the open source equivalent to SPSS.

For the qualitative data analysis, all the data was entered in an Excel spreadsheet. The

responses for the two questions were each copied to a separate worksheet. As some of the

responses were in other languages such as Portuguese, Google translate

(http://translate.google.com) was used to decipher the meaning of these. For each question

in each worksheet, candidate categories were arrived at to synthesize the findings. Three

kinds of coding were carried out – open coding, axial coding and selective coding (Corbin and

Strauss, 1990). Open coding included an initial pass through the data to come up with

candidate concepts for categories. After an initial level of analysis, categories were combined

into major categories (axial coding). Finally, the focus shifted to core categories (selective

coding), those that emerged from open and axial coding as the most important. For

inter-rater reliability, the authors looked at the analysis carried out by each other and

reconciled the categories. The findings for each question are discussed below.

Findings

Demographic data

Let us first look at the demographic data (<anonymized>). 23.76% of the librarians

who responded were male, while the majority (75.25%) were female. The mean age was

44.83 years, with a standard deviation of 11.74. The youngest respondent was 25 years of

age, while the oldest was of 79 years. The majority of the respondents (68.32%) had a

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master’s degree, while 12.87% had a bachelors degree. 9.9% of the respondents had a

Diploma, while 8.91% had a Ph.D. The respondents had spent an average of 15.58 years in

the library field (standard deviation 9.68 years). The no. of years that the respondents had

been in the library field ranged from 1-37 years. A majority of the respondents (41.58%)

worked in small libraries with 1-19 employees. 26.73% of the respondents worked in large

libraries with 101-500 employees. 17.82% of the respondents worked in mid-sized libraries

with 50-100 employees, while 13.86% of the respondents worked in libraries with 20-49

employees.

This study drew responses from libraries based in all 6 inhabited continents. 21.78%

of the respondents worked in libraries based in Asia (Bangladesh 6; India 4; Vietnam 3;

Pakistan 2; Malaysia, Lebanon, Iran, UAE, China, Philippines and Laos 1 each). 19.8% of the

respondents were based in Europe (UK 9; Germany 2; Denmark, Belgium, France,

Switzerland, Estonia, Slovenia, Italy, Hungary and Romania 1 each), 15.84% in South

America (Brazil 15; Colombia 1), 14.85% in North America (USA 8; Canada 4; Puerto Rico,

Jamaica and Mexico 1 each), 13.86% in Australia, and 12.87% in Africa (Zimbabwe 4; Kenya

and South Africa 3 each; Ghana 2, Nigeria 1).

20% of the respondents were senior employees of the library (in the level of Director

/ Head), 65% identified themselves as Librarian, and 15% as Library Assistant. 42.57% of

the respondents identified themselves as employees working in the library as a whole.

11.88% worked in reference, 10.89% in technical services, 9.9% in technology roles, 7.92%

in customer service, 2.97% in administration, 1.98% in innovation and 0.99% in legal.

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Main data

We will now look at the findings for the two research questions in this study.

RQ1. How does the library retain the knowledge of people who leave or resign from the

library?

Most respondents gave more than one option in the way in which their libraries retain

the knowledge of those leaving. These options were coded into separate categories

(discussed below), leading to 140 coded responses by the 101 respondents. The numbers

within brackets indicate the sum total for all responses in that category.

1) Through documentation, archiving or history of written policies and

procedures, or an after action review (36). “Files - most official records should be

filed, so that the next person who takes over can know what has happened

previously.” “Through detailed workflow documentation and process explanation

documents.” “Handing over notes, files” While it was not always clearly indicated, the

reference to these documents was in hard-copies or physical files, but could be soft

copies as well, or in both formats. Some responses listed the need for an effective

finding aid to make the documentation useful. One respondent indicated that the

content itself was not useful: “When I came into my position, I had files kept by

previous librarians. They were interesting, although not particularly relevant to my

day to day work. I have put them in document boxes and they will be organized as an

archive and receive a finding aid to be a history of my branch library.”

2) Through succession or handover training, an exit interview, mentoring by or

shadowing the employee who’s leaving (28). “Handover mentoring where

possible” “Our library tries to put in place succession planning for the knowledge to

be retained in junior librarians.” “Exchange of knowledge through a changeover

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process whereby the new incumbent shadows the old employee.” “exit interviews”

“departing colleagues often train new ones” “We try to train new people before people

retire or leave.”

3) Through a digital repository in the form of a knowledge base, database,

intranet, wiki, blogs, digital repository, social networking site or emails (26).

These primarily served as an archiving and sharing mechanism for electronic copies

of the documentation referenced to above. “The library has instituted a policy of

sharing key documents for workflows and procedures on the intranet.” “We utilize

TeamSites, which contains important organisational documents and procedures, as

well as LibNet, which is a library intranet. The knowledge of previous employees are

likely to be partially there,…” “use sharepoint” “we ensure that all documents are in

our shared document management system.” “I've been developing a KM wiki.”

One respondent said that this was not updated “We haven't done anything on that ….

since [the last] 5 years …”.

4) By building in redundancy through communities of practice or team members

working on similar areas as the employee who’s leaving (9). “also others that

worked with them would have some of their knowledge.” “Workforce planning. Aim

to have more than one person responsible for areas of knowledge/expertise.” “Build

communities of practice to minimize expertise residing in only one person” “Through

team work” “We are developing some cross-training protocols where appropriate.” “I

try to train more than one person to perform the same function.”

One response was especially curt: “Replace with younger people”

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5) Through a formal KM program (3). “The library system has a Knowledge

Management Program and throw it we develop many practices: Map of knowledge:

where people put their personal and professional information. It's possible to find the

networks.; Congress Report: when someone goes to a congress when come back it's

to share the knowledge with colleagues by writing a report, a meeting or a small

conference.; Workflow: libraries seeks to register workflow of the library's activities.”

“In our case, we document all the processes for any activities being conducted, thus,

a post activity report has to be submitted. In this regard, we don't have to worry about

the collected knowledge. If the document is in electronic format, since, all the PCs are

part of the networked, regularly remote banking and back-upping of documents are

conducted, this is to ensure that data are intact and have duplicates. Thus, if

somebody resigns and deleted all the documents in his/her PC, the unit has still a copy

of the all the documents.” “Keep people profiles; Request management reports

monthly or at the end of the post; Archive reports performance evaluations; In some

cases if possible make the splice; Annually makes backups of information in personal

computers; Update procedures manuals”

6) Oral history/storytelling (1). “Oral history when appropriate”

7) By ensuring adequate notice period from the employee who’s leaving (1).

“training of other colleagues 6 mos [months] before the employee retires”

Apart from the above strategies outlined for knowledge retention in libraries, there were

those who cited cases of poor retention, or gave no response to the answer.

Retention is done poorly (employees hoard knowledge; knowledge leaves with

them) or the respondent is unaware or unsure of any retention procedure (22).

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“Poorly and patchily” “Sadly, the knowledge leaves when people leave.” “I don't think

it does it very well.” “Nothing structured, usually. Not well done.” “I'm not aware of

any procedure to be honest” “Nothing is done” “It doesn't. There is no formal way to

retain like manuals, for example.” “no systematic approach” “Though there is no

framework to retain tacit knowledge here other than socialization, personal

interaction etc.”

Two of these responses indicated planning to keep in touch with the employee who’s

leaving: “we keep in contact” “i alone try to keeping relationships …by email and sms

tools.” One employee put the onus on retention to the rank or level of the individual

staff leaving: “I think it depends on what level of staff we are talking about. Library

assistants for example tend to hoard their knowledge as it makes them feel more

needed. Their tasks however are reasonably basic and can be learnt without too much

difficulty. The higher up the organization you go the more awareness there is of KM.”

No response (16). 16 out of 101 respondents did not respond to the question.

RQ2. How does the library provide organizational knowledge to new employees?

For this question as well, the respondents gave more than one option in the way in

which their libraries provide organizational knowledge to new employees joining the library.

These options were coded into separate categories (discussed below), leading to 152 coded

responses by the 101 respondents. The numbers within brackets indicate the sum total for

all responses in that category.

1) Through training, staff mentoring, orientation or induction program, lectures

or workshops (59). “…one-on-one as well as group training sessions” “…training

opportunities, onboarding process” “induction tours” “By staff inductions - giving

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them some information about the organisation, in particular the area they will be

working in.” “…new librarians are assigned a mentor as well as a supervisor to help

not with the orientation but work with the librarian up until receiving tenure. New

staff are more dependent on their supervisors.” “…mentoring…formal training”

“Training…personal coaching” “1. Library Induction program; 2. In house training

program; 3.Specific training program; 4. Use social media for training” “Structured

induction with schedule of face-to-face and online learning.” “New employees

participate in company training workshops for orientation activities to consulting the

library catalog” “Through pre-orientation activities, campus tour and other related

activities. Then, job orientation are also conducted where the new entrants are

oriented to his/her work, organizational set-up and all the process involved.” “one on

one advice…”

2) Through documentation and written procedures (30). “…procedural

documentation…” “There is a manual for new librarians…” “reference manual”

“Handbook of procedures etc.” “some paper documents and the other are soft copies”

“…a hard copy folder with instructions, and the new employee will go through it at

their own pace. They (sic) folder contains web links to the library website and

intranet ...” “by Human Resources Rules and Regulations” “You get a welcome package

that includes some leaflets.” “…using existing manuals, taking the opportunity to

change these manuals whenever displaying a better way for them [there is a better

way to present them].”

3) Through a knowledge base in the form of a Wiki, intranet or shared drive (26).

“by using the intranet and shared drive to access documents and procedures, etc.”

21

“Material is provided on the intranet and also using online tools” “All New library

users are given access credentials to our Institutional repositories and E-learning

platforms” “A lot of intranet, and internet based training modules.” “documents on

school server and in information center” “Through internal communication and

intranet.” “Process map”

A respondent mentioned a mechanism to back up documents: “documentation and

procedures are in the library intranet. A copy is in the library's institutional

repository”

4) Through networking, meetings or conversations with current employees,

answering any question on the job or over email (18). “…mostly through an on

the job one-on-one question and answer iterative process.” “Informally by

conversations with current employees…” “…promote [promoting] networking

opportunities” “…meeting with supervisors and peers” “…personal meetings,

informal communication, email.” “face to face meeting” “Through internal

communication…” “Education on demand…” “…learning by doing…” “…they can

attend work groups that have periodical meetings where they discuss about subjects

related to libraries.” “The organizational knowledge is provided in conversations and

informal instruction.” “Through …daily work…” “…Periodic meetings…” “…informal

networking” “…and socialization in most cases.”

5) Through storytelling (1). “….,conversations, story telling”

6) Through visit to other libraries (1). “I like and is a practice that I do from the

beginning of my administration, every person who comes new the first week is going

22

to visit the other libraries in the region and meet their peers or colleagues and see

how other libraries operate.”

7) Through a KM program (1). "Identifying the intellectual capital to build a

knowledge map; standardizing routines, documentation and procedures; promoting

the use of Web 2.0 tools among employees" (translated from Portuguese)

A few respondents gave no response, or provided examples of poor knowledge transfer

strategies.

No response (13). 13 out of 101 respondents chose not to respond to this question.

Knowledge is provided poorly or the respondent is unsure of any mechanism

(5). “Again, not very well.” “It doesn't yet.” “No formal mechanism in place.” “All

together, there's little communication [apart from some documentation provided]”

“Not sure I know what you mean by organizational knowledge.”

Discussion

Based on the findings of the study, a few key strategies emerged as important for both

knowledge retention of outgoing employees and transferring knowledge to new employees.

These were documentation, training and digital repository. While documentation is a useful

method in transferring tacit knowledge to explicit (for the outgoing employee), and to find

out what’s been documented before (for the incoming employee), a digital repository is a

good place to organize and house them. The degree to which documentation is useful is also

dependent upon the degree to which it is accessible (see Agarwal, Xu and Poo, 2011 on the

role of accessibility versus quality in information seeking). Thus, the role of an accessible

23

and easy to use digital repository becomes pertinent for effective use of the knowledge

retained coded in the form of documents.

Handover training (for outgoing employees) and induction program, orientation or

training (for incoming employees) are both effective ways for the transfer of tacit knowledge.

It helps the employee focus on what’s important, where to look, and get access to knowledge

that is not documented anywhere, or one which cannot be easily documented. As Polanyi

said, “….we can know more than we can tell.” (Polanyi, 1966/1989, p.4).

The three strategies of documentation, training and digital repository form the first

three rows in Table 1 below. Table 1 summarizes the key findings on knowledge retention

strategies for outgoing employees, and the knowledge transfer strategies for incoming

employees. The code in the first column of the table is a term used to represent the findings

arrived at through the analysis of the data. E.g. the term documentation includes archiving,

written policies and procedures, after action review, etc. The rest of the findings for

knowledge retention and transfer strategies are also included in the table.

Table 1 Comparing knowledge retention and transfer strategies for outgoing and incoming employees of the library

Code Retaining knowledge of outgoing employees

Transferring knowledge to incoming employees

Mapping to Nonaka and Takeuchi (1995)

Documentation 1) Through documentation, archiving or history of written policies and procedures, or an after action review (36)

2) Through documentation and written procedures (30)

Outgoing employee: tacit-explicit (externalization) Incoming employee: explicit-tacit (internalization)

Training 2) Through succession or handover training,

1) Through training, staff mentoring,

Outgoing or incoming employee:

24

an exit interview, mentoring by or shadowing the employee who’s leaving (28)

orientation or induction program, lectures or workshops (59)

tacit-tacit (socialization)

Digital Repository

3) Through a digital repository in the form of a knowledge base, database, intranet, wiki, blogs, digital repository, social networking site or emails (26)

3) Through a knowledge base in the form of a Wiki, intranet or shared drive (26)

Outgoing or incoming employee: explicit-explicit (combination)

Done poorly 4) Retention is done poorly (employees hoard knowledge; knowledge leaves with them) or the respondent is unaware or unsure of any retention procedure (22)

6) Knowledge is provided poorly or the respondent is unsure of any mechanism (5)

Outgoing or incoming employee: tacit (no or little conversation taking place)

No response 5) No response (16) 5) No response (13) Not applicable Networking 6) By building in

redundancy through communities of practice or team members working on similar areas as the employee who’s leaving (9)

4) Through networking, meetings or conversations with current employees, answering any question on the job or over email (18)

Outgoing or incoming employee: tacit-tacit (socialization)

KM program 7) Through a formal KM program (3)

9) Through a KM program (1)

Outgoing or incoming employee: Complete KM cycle / spiral

Storytelling 8) Oral history/storytelling (1)

7) Through storytelling (1)

Outgoing employee: tacit-explicit (externalization) Incoming employee: explicit-tacit (internalization) tacit-tacit (socialization)

25

Notice period 9) By ensuring adequate notice period from the employee who’s leaving (1)

Not applicable

Library visit 8) Through visit to other libraries (1)

Incoming employee: tacit-tacit (socialization)

In the last column of the table, we map the strategies for retention and transfer (as

they apply to outgoing and incoming employees respectively) with Nonaka and Takeuchi

(1995). While documentation helps the outgoing employee externalize (conversion of tacit

knowledge to explicit knowledge), it helps the incoming employee internalize (conversion of

explicit knowledge to tacit knowledge). In the case of training and orientation, socialization

is taking place with tacit to tacit conversion of knowledge. The digital repository combines

and synthesizes knowledge for easy access. Here the conversion from explicit to explicit

rarely happens on its own and typically involves human intervention. The process moves

from explicit to tacit (a person trying to read or understand some documentation produced

by a current or outgoing employee), and then from tacit to explicit (a person trying to change,

summarize, synthesize or create something on the basis of what s/he has read or

understood). However, if automated computer processes are used, then this conversion

would be from explicit to explicit knowledge.

When knowledge retention or transfer is done poorly and when people hoard what

they know, then knowledge remains tacit and is not transferred (or not transferred

effectively). This is when people do not share what they know. Networking between

outgoing and current employees, or between current and incoming employees is again a case

of socialization where tacit to tacit conversation of knowledge is taking place. In the few

26

cases where the respondents mentioned having a formal KM program, a (mostly) complete

KM cycle is taking place. Here, all 4 quadrants of Nonaka and Takeuchi (1995)’s framework

(Figure 1) are activated, and may be represented with the spiral in the center of the

framework (which indicates the various conversions taking place within and between tacit

and explicit knowledge).

For outgoing employees, storytelling may involve tacit to tacit conversion (if the

current employees are listening), but is more often a tacit to explicit conversion as the

knowledge of the outgoing employee is often being recorded – either in the form of notes or

transcripts, or a video recording (with appropriate release forms for reuse). For an incoming

employee, storytelling may happen in the process of socialization with current employees

(tacit to tacit), or internalization, where a new employee listens to or reads previously

recorded stories (explicit to tacit).

Finally, library visits for an incoming employee often entails interaction with people

working in those libraries and involves socialization (tacit to tacit conversion of knowledge).

Based on the findings of this qualitative survey of 101 international librarians, we propose

below a process framework for knowledge retention and transfer of outgoing and incoming

library employees (see Figure 2). The enabling conditions or KM

capability/readiness/maturity (people, culture, processes and technology), though not all

investigated in the data gathered, are necessary conditions for effective retention and

transfer of knowledge. E.g. tacit knowledge means power (Scott, 2000). Without a culture of

mutual trust (Levin and Cross, 2004), a library professional will not share what s/he knows.

Enabling conditions: people – culture – processes – technology

27

To tacit To explicit

Employee: Outgoing Incoming Outgoing Incoming

From tacit

Socialization Externalization training; networking

training; networking; storytelling; library visit

documentation; storytelling

not applicable

From explicit

Internalization Combination not applicable documentation;

storytelling digital repository digital

repository

1Knowledge remains tacit when retention or transfer is done poorly 2KM program applies to the spiral and all 4 quadrants 3Spiral denotes the phases of the KM cycle

Figure 2 Knowledge retention and transfer process for outgoing and incoming library employees

The framework extends Nonaka and Takeuchi (1995)’s knowledge creation

framework. It demonstrates how knowledge retention and transfer strategies (based on the

study findings) are central to knowledge creation within the library. In each quadrant, the

strategies listed on the left are those identified by the respondents as pertaining to

knowledge retention of outgoing employees. The strategies listed on the right pertain to

knowledge transfer to incoming employees.

The finding of this study can also be mapped to phases of the KM cycle (see Table 2).

The spiral in our proposed framework (Figure 2) represents the cyclical and iterative

phases of the KM cycle (Agarwal and Islam, 2014).

Table 2 Mapping knowledge retention and transfer strategies for outgoing and incoming library employees to phases of the KM cycle

Phase of the KM cycle

Applicability to outgoing employee

Applicability to incoming employee

Mapping to Nonaka and Takeuchi (1995)

28

1. Knowledge creation

Documentation KM program

Outgoing employee: Tacit - explicit

2. Knowledge acquisition or sourcing

Training Documentation Digital Repository Networking Storytelling Library visits KM program

Incoming employee: Explicit/tacit - tacit

3. Knowledge compilation or capture

Documentation Digital Repository KM program Storytelling

Outgoing employee: tacit - explicit

4. Knowledge organization, refinement, transformation and storage

Documentation Digital Repository KM program

Outgoing employee: explicit – explicit

5. Knowledge dissemination, transfer and access

Training Networking KM program Storytelling

Documentation Digital Repository KM program

Outgoing employee: tacit – tacit Incoming employee: explicit – tacit

6. Knowledge learning and application

Training Documentation Digital Repository Networking Storytelling Library visits KM program

Incoming employee: tacit/explicit - tacit

7. Knowledge evaluation and value realization

Not applicable

8. Knowledge reuse or divesting

KM program KM program

Outgoing employee: Tacit - explicit Incoming employee: Explicit - tacit

For an outgoing (or current) employee, knowledge creation can happen through

documentation and by participating in the KM program (see Table 2). The knowledge of the

outgoing employee is compiled or captured in through documentation, digital repository,

29

storytelling, and a KM program. Either paper-based documentation or the digital repository

can be used to organize, refine, transform and store this knowledge. This knowledge is

disseminated to other employees through training, storytelling and

networking/communities of practice. Finally, an outgoing (or current) employee can decide

if certain knowledge is no longer necessary and can be divested.

An incoming employee acquires or sources knowledge through participating in

training, reading documentation, accessing the digital repository, networking with current

employees, listening to organizational stories, visiting other libraries and by participating in

a KM program. This employee gets access to explicit knowledge in the form of documentation

or through the digital repository. The strategies that the incoming employee uses to acquire

knowledge help the employee learn and apply this knowledge to his/her work. A formal KM

program also helps the new employee reuse existing knowledge.

The empty cells of the table show which strategies do not apply to outgoing or

incoming employees. E.g. knowledge acquisition and sourcing applies largely to incoming

employees and not to outgoing employees, who are preparing to transfer what they know.

In the last column, we map the finding of the study (as they apply to different phases

of the KM cycle) to Nonaka and Takeuchi (1995)’s knowledge creation process dimensions

where knowledge is converted between or within the tacit and explicit.

Conclusions and Implications

This study has shown that the strategies for the retention and transfer of both explicit

knowledge (through documentation, digital repositories, etc.) and tacit knowledge (though

30

training and other means) are important. The proposed framework is empirically supported.

The spiral in the framework maps to the cycle that knowledge moves through within a

library (Agarwal & Islam, 2014). The study also showed that the strategies used by most

libraries were not part of a formal KM program, or that retention or transfer was done poorly

in some libraries. For knowledge retention and transfer to be truly successful, it needs to be

part of a formal KM program and done on an ongoing, organic basis for all current employees,

and not just in the last few days or weeks before a particular employee leaves.

This is an important area of exploration, especially in the field of librarianship. This

is the first empirical study in the area of knowledge retention and transfer in libraries. With

the lack of previous studies on this in the library domain, it should trigger interest for similar

studies to be carried out. The proposed framework helps extend Nonaka & Takeuchi (1995)’s

framework. The most important implication is the mapping of strategies (pertaining to both

incoming and outgoing employees) to the four quadrants of the framework based on

empirical findings. Future research can use the framework as a theoretical base and further

validate it.

Findings from the study should be3 transferrable to other libraries. As far as the

library profession is concerned, the research could assist in the formulation of more

established policies in knowledge retention and transfer, where more systematic KM

programs could be carried out in the library. Library practitioners can see what retention

and transfer strategies were found important by other librarians, and adopt some of the

practices in their own libraries. The framework will help librarians evaluate the studies they

31

employ critically, and see which of the strategies help in transfer of tacit versus explicit

knowledge, or impact a particular phase of the KM cycle.

The study has two major limitations. First, it was limited to open-ended responses to

two simple questions, with data for the study gathered as part of a larger quantitative study.

Second, a bigger sample than 101 would yield more data.

Future studies should take the findings and design a structured quantitative survey

to probe librarians further on the retention and transfer choices of libraries. Principal

components of the variables (retention and transfer) could be derived based on the

literature. E.g. the constituent elements of knowledge transfer as per Emadzade et al. (2012)

are combining, filtering, integrating, merging, coordinating, distributing, and reconstructing

knowledge. This could be one example of principal components investigated. The role of

other factors such as enabling KM capabilities (people, culture, processes and technology)

could be investigated. A survey questionnaire could then be designed based on it. See

<anonymized> for an example of a study design using principal components.

The data could be further analysed by individual countries/continents to see how the

findings differ across these. Face-to-face interviews of librarians in a region can also be

carried out. Interviews or focus groups of librarians associated with organizational policy

matters (chief librarian, head of division, etc.) could be carried out to investigate knowledge

retention and transfer strategies, as they would be directly associated with these policies,

and could provide further insights. Finally, a case study of a specific library in a region would

help understand the retention and transfer strategies, challenges, and solutions in a

particular context. Such a study could use the proposed framework as a theoretical lens, and

32

validate it against the library’s practices. Gathering data using mixed methods would help in

the triangulation of study findings.

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